Title: Detecting unstructured elements in 3D scanned scenes
Authors: González, M. J.
Lucena, M.
Fuertes, J. M.
Segura, R.
Rueda, A. J.
Citation: WSCG '2011: Communication Papers Proceedings: The 19th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p. 169-172.
Issue Date: 2011
Publisher: Václav Skala - UNION Agency
Document type: konferenční příspěvek
URI: http://wscg.zcu.cz/WSCG2011/!_2011_WSCG-Short_Papers.pdf
ISBN: 978-80-86943-82-4
Keywords: filtrování dat;3D skener;anizotropní difúze
Keywords in different language: data filtering;3D scanner;anisotropic diffusion
Abstract: This paper presents a technique for detecting unstructured areas in scanned 3D data. For many applications, outdoor 3D scanned data has to be filtered in order to eliminate undesirable artefacts, such as wires, vegetation, small objects, etc. Usually, this task is done manually, but it would be desirable to provide an automatic tool to reduce the preprocessing cost. The proposed technique, which consists in two stages, based on anisotropic diffusion and plane regression respectively, allows us to select most of the uninteresting data. It also has been shown good results with real data.
Rights: © Václav Skala - UNION Agency
Appears in Collections:WSCG '2011: Communication Papers Proceedings

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